Results 11 to 20 of about 322,377 (296)

Sequential Probabilistic Ratio Test for the Scale Parameter of the P-Norm Distribution

open access: yesDiscrete Dynamics in Nature and Society, 2021
We consider a series of independent observations from a P-norm distribution with the position parameter μ and the scale parameter σ. We test the simple hypothesis H0:σ=σ1 versus H1: σ=σ2.
Huan Ren, Hongchang Hu, Zhen Zeng
doaj   +1 more source

Cingulate-motor circuits update rule representations for sequential choice decisions [PDF]

open access: yes, 2021
AbstractAnterior cingulate cortex mediates the flexible updating of an animal’s choice responses upon rule changes in the environment. However, how anterior cingulate cortex entrains motor cortex to reorganize rule representations and generate required motor outputs remains unclear.
Daigo Takeuchi   +7 more
openaire   +1 more source

Event-Related Potentials During Decision-Making in a Mixed-Strategy Game

open access: yesFrontiers in Neuroscience, 2021
The decisions we make are sometimes influenced by interactions with other agents. Previous studies have suggested that the prefrontal cortex plays an important role in decision-making and that the dopamine system underlies processes of motivation, motor ...
Fang-Yu Chang   +4 more
doaj   +1 more source

Research on Mining Algorithm for Association Co-occurrence Rule of Moving Targets [PDF]

open access: yesJisuanji gongcheng, 2018
The current mobile target behavioral rules mostly focus on the single dimension of space or time,or the self-behavior of a single moving target.In order to find out the association co-occurrence rule of moving targets,based on the traditional trajectory ...
XIE Bin,ZHANG Kun,CAI Ying,JIANG Tongtong,MA Mengyue
doaj   +1 more source

Accuracy and decision time for a class of sequential decision aggregation rules [PDF]

open access: yes49th IEEE Conference on Decision and Control (CDC), 2010
This work focuses on decentralized decision making in a population of individuals each implementing the sequential probability ratio test. The individual decisions are combined into a decentralized decision via an aggregation rule chosen from a family of aggregation rules, denoted as q out of N rule.
DANDACH S. H, CARLI, RUGGERO, BULLO F.
openaire   +2 more sources

Underwater multi-sensor Bayesian distributed detection and data fusion [PDF]

open access: yesMATEC Web of Conferences, 2019
The relationship of decision rule of sensor for each other is relevant to data fusion, so different topological network of sensors usually results in different performance.
Li Cheng, Zhu Guangping
doaj   +1 more source

Reinforcement learning building control approach harnessing imitation learning

open access: yesEnergy and AI, 2023
Reinforcement learning (RL) has shown significant success in sequential decision making in fields like autonomous vehicles, robotics, marketing and gaming industries. This success has attracted the attention to the RL control approach for building energy
Sourav Dey   +3 more
doaj   +1 more source

Sequential evidence accumulation in decision making: The individual desired level of confidence can explain the extent of information acquisition

open access: yesJudgment and Decision Making, 2008
Judgments and decisions under uncertainty are frequently linked to a prior sequential search for relevant information. In such cases, the subject has to decide when to stop the search for information.
Daniel Hausmann   +3 more
doaj   +1 more source

ABOUT CLINICAL EXPERT SYSTEM BASED ON RULES USING DATA MINING TECHNOLOGY

open access: yesMedična Informatika ta Inženerìâ, 2015
In the work the topics of software implementation of rule induction method based on sequential covering algorithm are considered. Such approach allows us to develop clinical decision support system. The project is implemented within Netbeans IDE based on
V. P. Martsenyuk, O. O. Stakhanska
doaj   +1 more source

On the optimal decision rule for sequential interactive structured prediction [PDF]

open access: yesPattern Recognition Letters, 2012
[EN] Interactive structured prediction (ISP) is an emerging framework for structured prediction (SP) where the user and the system collaborate to produce a high quality output. Typically, search algorithms applied to ISP problems have been based on the algorithms for fully-automatic SP systems.
Alabau, Vicent   +2 more
openaire   +3 more sources

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